Probability and Statistics in the Physical Sciences
Probability and Statistics in the Physical Sciences

Author: Byron P. Roe

Publisher: Springer Nature

Published: 2020-09-26

Total Pages: 285

ISBN-13: 3030536947

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This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.

Statistics for Physical Sciences
Statistics for Physical Sciences

Author: Brian Martin

Publisher: Academic Press

Published: 2012-01-19

Total Pages: 313

ISBN-13: 0123877601

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"Statistics in physical science is principally concerned with the analysis of numerical data, so in Chapter 1 there is a review of what is meant by an experiment, and how the data that it produces are displayed and characterized by a few simple numbers"--

Probability and Statistics in Experimental Physics
Probability and Statistics in Experimental Physics

Author: Byron P. Roe

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 219

ISBN-13: 1475721862

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A practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced undergraduates. Intended as a practical guide, and not as a comprehensive text, the emphasis is on applications and understanding, on theorems and techniques that are actually used in experimental physics. Proofs of theorems are generally omitted unless they contribute to the intuition in understanding and applying the theorem. The problems, many with worked solutions, introduce the student to the use of computers; occasional reference is made to some of the Fortran routines available in the CERN library, but other systems, such as Maple, will also be useful.

The Theory of Probability
The Theory of Probability

Author: Harold Jeffreys

Publisher: OUP Oxford

Published: 1998-08-06

Total Pages: 474

ISBN-13: 0191589675

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Another title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey's Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today's graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.

Probability and Statistics for Physical Sciences
Probability and Statistics for Physical Sciences

Author: Brian Martin

Publisher: Academic Press

Published: 2023-11-01

Total Pages: 0

ISBN-13: 9780443189692

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Probability and Statistics for Physical Sciences, Second Edition, is an accessible guide to commonly used concepts and methods in statistical analysis, as used in physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first year undergraduate students to working scientists across many disciplines.

Statistical Methods for Physical Science
Statistical Methods for Physical Science

Author:

Publisher: Academic Press

Published: 1994-12-13

Total Pages: 563

ISBN-13: 0080860168

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This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. - Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods - Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares - Addresses time series analysis, including filtering and spectral analysis - Includes simulations of physical experiments - Features applications of statistics to atmospheric physics and radio astronomy - Covers the increasingly important area of modern statistical computing

Applied Probability and Stochastic Processes
Applied Probability and Stochastic Processes

Author: Michel K. Ochi

Publisher: Wiley-Interscience

Published: 1990-01-25

Total Pages: 528

ISBN-13:

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This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.

Introduction to Probability and Statistics for Science, Engineering, and Finance
Introduction to Probability and Statistics for Science, Engineering, and Finance

Author: Walter A. Rosenkrantz

Publisher: CRC Press

Published: 2008-07-10

Total Pages: 680

ISBN-13: 158488813X

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Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create